Osamu Nomura

Environment-specific knowledge acquisition system for home service robots via brain-inspired memory and commonsense knowledge

Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura et autres

Home-service robots are expected to enhance the quality of daily life. Two types of knowledge, commonsense and environment-specific knowledge, are required for home-service robots. Current robots can handle audio-visual-based common knowledge, task planning, and action generation. Additionally, several systems that handle environment-specific …

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A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information

Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura et autres

Home service robots acquire environment-specific knowledge through experiences (episodes) in a home to perform tasks autonomously. We propose a hippocampus-inspired memory system comprising an environment-specific knowledge module that handles episodic memory and a common knowledge module. The robot works in a home …

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CMOS digital-analog mixed signal VLSI implementation of a hippocampus-inspired model

Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh et autres

For artificial intelligence (AI) to be useful in the home, it is required to acquire unique knowledge of the home obtained through interaction with space and environment. This is difficult for deep learning-based AI. The human brain can learn unique knowledge from …

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大規模言語モデルと海馬モデルによるホームサービスロボット向け知識獲得システム

Akinobu Mizutani, Yuichiro TANAKA, Hakaru Tamukoh, Katsumi Tateno et autres

A home service robot, which is required to support human life in the home, needs two types of knowledge: common knowledge, which corresponds to common sense, and specific knowledge, which the robot acquires through its experience in each home. In this paper, …

海馬モデルによる経験の蓄積と想起に基づくホームサービスロボットの行動生成

Akinobu Mizutani, Ichiro Kawashima, Yuichiro Tanaka, Hakaru Tamukoh et autres

This paper proposes a brain-inspired artificial intelligence model inspired by brain functions related to the representation and memory of a place and experiences of a robot. The hippocampus is related to episodic memory; cells that fire depending on the path are found …

An Image-Filtering LSI Processor Architecture for Face/Object Recognition Using a Sorted Projection-Field Model Based on a Merged/Mixed Analog-Digital Architecture

Osamu Nomura

Real-time object detection or recognition technology becomes more important for various intelligent vision systems. Processing models for object detection or recognition from natural images should tolerate pattern deformations and pattern position shifts. The hierarchical convolutional neural networks are considered as a promising …

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